Results 51 to 60 of about 208,052 (306)
A Comparative Analysis of Supervised and Unsupervised Models for Detecting Attacks on the Intrusion Detection Systems [PDF]
, 2023 Tala Talaei Khoei, Naima Kaabouch
openalex +1 more source
Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?
FEBS Letters, EarlyView.This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes +3 more
wiley +1 more source
High-speed railway perimeter intrusion detection approach based on Internet of Things
Advances in Mechanical Engineering, 2019 Efficient perimeter intrusion detection approach is vital to safety management of China high-speed railway. In this article, for high-speed railway perimeter intrusion detection problem, a perimeter intrusion detection framework based on Internet of ...
Zhengyu Xie, Yong Qin
doaj +1 more source
An Incremental Learning Method Based on Dynamic Ensemble RVM for Intrusion Detection [PDF]
, 2021 Zhijun Wu +3 more
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The role of histone modifications in transcription regulation upon DNA damage
FEBS Letters, EarlyView.This review discusses the critical role of histone modifications in regulating gene expression during the DNA damage response (DDR). By modulating chromatin structure and recruiting repair factors, these post‐translational modifications fine‐tune transcriptional programmes to maintain genomic stability.
Angelina Job Kolady, Siyao Wang
wiley +1 more source
MathematicsIn order to cope with ever-evolving and increasing cyber threats, intrusion detection systems have become a crucial component of cyber security. Compared with signature-based intrusion detection methods, anomaly-based methods typically employ machine ...
Haonan Tan +3 more
doaj +1 more source
Molecular Oncology, EarlyView.This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan +9 more
wiley +1 more source
Efficient Computer Network Anomaly Detection by Changepoint Detection Methods
, 2012 We consider the problem of efficient on-line anomaly detection in computer network traffic. The problem is approached statistically, as that of sequential (quickest) changepoint detection.
Polunchenko, Aleksey S. +2 more
core +1 more source
Evaluation of intrusion detection systems
Journal of Research of the National Institute of Standards and Technology, 2003 This paper presents a comprehensive method for evaluating intrusion detection systems (IDSs). It integrates and extends ROC (receiver operating characteristic) and cost analysis methods to provide an expected cost metric. Results are given for determining the optimal operation of an IDS based on this expected cost metric.
Ulvila, Jacob W., Gaffney, John E.
openaire +2 more sources
A Deep Learning‐Based Framework for Feature Extraction and Classification of Intrusion Detection in Networks [PDF]
, 2022 Naveed Muhammad +8 more
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